A MOVING TARGET DETECTION ALGORITHM BASED ON THE
DYNAMIC BACKGROUND
ABSTRACT
Advantages and disadvantages of two common algorithms frequently used in the moving
target detection: background subtraction method and frame difference method are analyzed and
compared in this paper. Then based on the background subtraction method, a moving target
detection algorithm is proposed. The background image used to process the next frame image is
generated through superposition of the current frame image and the current background image
with a certain probability. This algorithm makes the objects which stay long time to be a part of
the background after a certain period of time, but not be detected as a part of foreground. The
experimental results show that this algorithm can detect moving targets more effectively and
precisely. Keywords-background subtraction; frame difference; moving target detection;
dynamic background
PROBLEM DEFINITION
Intelligent video surveillance is a new research direction in the field of computer vision. It uses
the method of computer vision and detects the movement target in the monitoring scene by
automatic analysis the image sequence by the camera recording. And the research on moving
target detection and extraction algorithm can be said to be key issues in intelligent video. Its
purpose is the detection and extraction of the moving targets from the scene of the video image
sequence. Therefore the effective detection of moving targets determines the system
performance. Therefore, this article focuses on key technology in the moving targets detection
and extraction. In this paper, firstly, it has a brief introduction of pretreatment of the video
images. It reduces the error in the image processing after. Secondly the paper focuses on analysis
comparison the two algorithms: the background subtraction and the frame difference. Lastly, this
paper selects based on the background subtraction method to improve it and present a moving
target detection algorithm based on the background which has dynamic changes.
Flow charts
Flow chart of background subtraction method
Flow chart of frame difference
method
SOFTWARE AND HARDWARE REQUIREMENTS

Operating system
:
Windows XP/7.

Coding Language
:
MATLAB

Tool
:
MATLAB R 2012
SYSTEM REQUIREMENTS:
HARDWARE REQUIREMENTS:

System

Hard Disk

Floppy Drive

Monitor

Mouse

Ram
:
Pentium IV 2.4 GHz.
:
:
1.44 Mb.
:
:
40 GB.
15 VGA Colour.
Logitech.
:
512 Mb.
CONCLUSION
Although the moving target detection algorithm based on the dynamic background can better
meet the set performance requirements. However, to design a perfect intelligent visual
surveillance system, we should further improve the system robustness and increase target
identification functions.
REFERENCES
[1] Wang Ying-li , Dai Jing-min, “Moving Targets Detection and Tracking Based on Nonlinear
Adaptive Filtering,” 2007 International Conference on Computational Intelligence and Security
Workshops (CISW 2007), pp. 691-694, December 2007.
[2] Yang Shu-Ying , Zhang Cheng , Zhang We-Yu , He Pi-Lian, Unknown Moving Target
Detecting and Tracking Based on Computer Vision, Fourth International Conference on Image
and Graphics (ICIG 2007), pp 490-495, August 2007
[3] Tan Jiyuan, Wu Chengdong, Zhou Yun, Hou Jun, Wang Qiaoqiao, “Reasearch of Abnormal
Target Detection Algorithm in intelligent Surveillance System”, Proceedings of the 2009
International Conference on Advanced Computer Control, IEEE Computer Society, 2009.
[4] Fa-quan Zhang , Yong Zhang , Li-ping Lu , Li-ying Jiang , Guang-zhao Cui, “Speedy
Detection Algorithm of Underwater Moving Targets Based on Image Sequence,” 2009
International Conference on ComputerEngineering and Technology, pp. 230–233, January 2009
[5] Mayur D. Jain, S. Nalin Pradeep. A video surveillance system under varying environmental
conditions. Proceedings of the 24th IASTED international conference on Signal processing,
pattern recognition, and applications,ACTAPress, February 2006.
[6] By M. A. Zerafat Pisheh , A. Sheikhi, “Detection and Compensation of Image Sequence Jitter
Due to an Unstable CCD Camera for Video Tracking of a Moving Target,” Second International
Symposium on 3D Data Processing, Visualization and Transmission (3DPVT'04), pp. 258- 261,
September 2004